{"id":"W4413093042","doi":"10.3390/app15147864","title":"Ratcheting of Steel Samples Undergoing Asymmetric Loading Cycles at Elevated Operating Temperatures: Analytical and Numerical Assessments","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Finite element method; Hardening (computing); Strain hardening exponent; Tetrahedron; Nonlinear system; Structural engineering; Plasticity; Composite material; Mechanics; Mathematics; Physics; Engineering; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003405969,0.0002895512,0.0002862877,0.0004732036,0.0002380827,0.0002110995,0.0003794556,0.0004059571,0.001152955],"category_scores_gemma":[0.0005821519,0.0001812957,0.000234648,0.0003889111,0.0004310472,0.000276975,0.0001662703,0.0002536439,0.000169397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002885393,"about_ca_system_score_gemma":0.0001417568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305392,"about_ca_topic_score_gemma":0.003179777,"domain_scores_codex":[0.9998081,0.00001148703,0.00001459809,0.00003440014,0.0001066568,0.00002484346],"domain_scores_gemma":[0.9996661,0.00007353051,0.00006153925,0.00005116118,0.0001311032,0.00001664887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003001575,0.00006352701,0.00544263,0.0001856745,0.00001465987,0.000364296,0.0004149567,0.02396728,0.9516921,0.000335217,0.0001607053,0.01705877],"study_design_scores_gemma":[0.00001641103,0.0009119621,0.03924937,0.00002622955,0.00003201927,0.0002886711,0.0005686952,0.226476,0.7305518,0.0002544415,0.001574975,0.00004949764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960465,0.0001500183,0.003172352,0.00002183156,0.00000964107,0.00001181302,0.00008870321,0.00005877032,0.0004403677],"genre_scores_gemma":[0.9961079,0.00009901541,0.003119449,0.000006399903,0.00000242039,0.00001375925,0.00007908906,0.00001094584,0.0005610188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305392,"threshold_uncertainty_score":0.003857017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1014703584618294,"score_gpt":0.4829496714499595,"score_spread":0.3814793129881301,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}